Imagine trying to train a smart security system but having no real-world examples to show it. This project builds a secure digital library where police and tech companies can safely share and label sensitive data without risking privacy. It acts like a trusted club with strict rules, ensuring everyone uses high-quality information to build better security tools.
Security tech developers lack high-quality, domain-specific data to train and test their tools. This creates a bottleneck where innovation is slowed by legal risks and data scarcity.
A Reference Architecture and a TRL-7 implementation of a Research Data Ecosystem. It includes tools for data anonymization, synthesis, and watermarking.
If you are a startup dealing with a lack of real-world attack data to train your models — this project developed a Reference Architecture that provides a secure way to access high-quality datasets. This allows you to test your tools against verified security data while staying compliant with EU laws.
If you are a software provider dealing with fragmented data across different agencies — this project developed a Research Data Ecosystem that standardizes how data is deposited and shared. This reduces the time spent on manual data cleaning and legal hurdles.
If you are a tech firm dealing with the risk of leaking sensitive info during research — this project developed tools for anonymization and watermarking. This ensures that shared security data remains protected and traceable.
Based on available project data, no specific pricing or cost models are mentioned as this is an EU-funded research project.
The project aims for a TRL-7 Reference Implementation, which indicates it is designed for demonstration in an operational environment, suggesting high scalability potential.
Based on available project data, the project focuses on a governance framework and common rules for data sharing, but specific licensing terms are not detailed.
The system is built to comply with EU values and principles on data protection, privacy, and ethics through a dedicated governance framework.
The project period runs from 2022-11-01 to 2025-04-30, with a Roadmap provided for actual deployment.
The consortium is highly diverse, featuring 28 partners across 14 countries. With a 29% industry ratio (including 6 SMEs), there is a strong balance between academic research (12 partners) and practical application, ensuring the resulting tools are grounded in real-world security needs.
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